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Exhaust Gas Analysis of Firewood Combustion Processes : Application of a Robust Thermoelectric Gas Sensor

Title data

Ojha, Binayak ; Hagen, Gunter ; Kohler, Heinz ; Moos, Ralf:
Exhaust Gas Analysis of Firewood Combustion Processes : Application of a Robust Thermoelectric Gas Sensor.
In: Proceedings. Vol. 1 (2017) Issue 4 . - 457.
ISSN 2504-3900
DOI: https://doi.org/10.3390/proceedings1040457

Official URL: Volltext

Abstract in another language

The quality of firewood combustion processes can be considerably improved by automated control of the combustion air streams. For this purpose, continuous flue gas analysis using in-situ sensors is essential. In order to monitor the unburned exhaust gas components like carbon monoxide (CO) and hydrocarbons (CxHy), for the first time a novel thermoelectric gas sensor was applied directly in the exhaust gas. The sensor is made of high temperature stable materials and promises the needed robustness. Here, the sensor signal is compared to flue gas analysis data from FTIR measurements during a wood-log batch firing experiment. An impressive correlation between both data was found.

Further data

Item Type: Article in a journal
Refereed: Yes
Institutions of the University: Faculties > Faculty of Engineering Science
Faculties > Faculty of Engineering Science > Chair Functional Materials > Chair Functional Materials - Univ.-Prof. Dr.-Ing. Ralf Moos
Profile Fields > Advanced Fields > Advanced Materials
Research Institutions > Central research institutes > Bayreuth Center for Material Science and Engineering - BayMAT
Research Institutions > Research Units > Zentrum für Energietechnik - ZET
Research Institutions > Research Units > BERC - Bayreuth Engine Research Center
Faculties
Faculties > Faculty of Engineering Science > Chair Functional Materials
Profile Fields
Profile Fields > Advanced Fields
Research Institutions
Research Institutions > Central research institutes
Research Institutions > Research Units
Result of work at the UBT: Yes
DDC Subjects: 600 Technology, medicine, applied sciences > 620 Engineering
Date Deposited: 20 Sep 2017 06:34
Last Modified: 18 Oct 2024 10:18
URI: https://eref.uni-bayreuth.de/id/eprint/39726